PowerLSTM: Power Demand Forecasting Using Long Short-Term Memory Neural Network.
Yao ChengChang XuDaisuke MashimaVrizlynn L. L. ThingYongdong WuPublished in: ADMA (2017)
Keyphrases
- demand forecasting
- recurrent neural networks
- long short term memory
- neural network
- historical data
- supply chain
- feed forward
- exponential smoothing
- artificial neural networks
- fuzzy logic
- water resources
- genetic algorithm
- prediction model
- machine learning
- feed forward neural networks
- activation function
- training algorithm
- training data
- least squares
- expert systems